Update app.py
Browse files
app.py
CHANGED
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import streamlit as st
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import openai
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#
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def generate_detailed_artifact(api_key, description, artifact_type):
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"""
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"""
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st.title("AI-Enabled Project Artifact Generator")
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if 'api_key' not in st.session_state:
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st.session_state.api_key = ''
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st.session_state.api_key = api_key_input # Update session state with the new key
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with st.form("artifact_generator"):
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artifact_types = list(sophisticated_prompts.keys())
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description = st.text_area("Enter Project Description", "Type your project description here...")
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selected_artifact_types = st.multiselect("Select Artifact Types", artifact_types, default=artifact_types[0])
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generate_button = st.form_submit_button("Generate Artifacts")
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for i, artifact_type in enumerate(selected_artifact_types):
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artifact_content = generate_detailed_artifact(st.session_state.api_key, description, artifact_type)
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with tab_container[i]:
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st.markdown(artifact_content, unsafe_allow_html=True)
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else:
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st.warning("Please enter your OpenAI API key to use the app.")
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import streamlit as st
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import openai
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# Assuming your OpenAI API key is set in an environment variable or entered in the app
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# For the app, we'll ask the user to input it directly for demonstration purposes
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def generate_detailed_artifact(api_key, description, artifact_type):
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"""
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Generate a detailed and sophisticated artifact for software development projects.
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"""
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sophisticated_prompts = {
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"Strategic Alignment Report": "Craft a comprehensive report that articulates the alignment of AI initiatives with the organization's long-term strategic goals, demonstrating how AI can be leveraged for strategic advantage.",
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"Enhanced Process Maps": "Develop enhanced process maps indicating AI integration points. Detail the current versus future state of processes, specifying where AI brings value.",
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"AI Impact Forecast": "Generate a forecast report that assesses the potential impacts of AI on business processes, scalability of solutions, and a framework for measuring and monitoring these impacts.",
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"Stakeholder Engagement Plan": "Create a detailed stakeholder engagement plan that lists all stakeholders, their concerns, expectations, and strategies for managing the cultural shift towards AI adoption.",
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"AI Risk Mitigation Strategy": "Construct a comprehensive risk mitigation strategy document outlining the potential risks of AI integration and detailed plans for addressing these risks.",
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"Cost-Benefit Analysis Document": "Produce a cost-benefit analysis document for AI projects, detailing investment requirements, financial benefits, total cost of ownership, and prioritization of initiatives based on financial metrics.",
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"AI Prototyping Strategy": "Outline a strategic plan for prototyping AI initiatives, including the prototyping phases, success metrics, resource needs, and a feedback incorporation mechanism.",
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"Change Management Framework": "Develop a change management framework that analyzes the impact of AI, provides a detailed change plan, identifies training needs, and establishes clear communication strategies.",
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"AI Monitoring and Review Framework": "Design a continuous AI monitoring and evaluation framework that details the KPIs, integration with BI systems, and the periodic review process for AI initiatives.",
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"AI Roadmap and Action Plan": "Synthesize a strategic AI roadmap and action plan document based on workshop findings, assigning responsibilities and deadlines for the completion of action items."
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}
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prompt = sophisticated_prompts.get(artifact_type, "Generate a detailed document section:") + "\n" + description
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try:
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openai.api_key = api_key
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response = openai.Completion.create(
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model="gpt-4", # Adjust model as necessary
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prompt=prompt,
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temperature=0.5,
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max_tokens=1024,
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top_p=1.0,
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frequency_penalty=0.0,
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presence_penalty=0.0
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)
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return response.choices[0].text.strip()
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except Exception as e:
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return f"An error occurred: {str(e)}"
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st.title("AI-Enabled Project Artifact Generator")
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api_key = st.text_input("Enter your OpenAI API key", type="password")
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artifact_type = st.selectbox("Select Artifact Type", list(sophisticated_prompts.keys()))
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description = st.text_area("Project Description", "Enter your project description here.")
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if st.button("Generate Artifact"):
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if api_key and description and artifact_type:
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generated_artifact = generate_detailed_artifact(api_key, description, artifact_type)
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st.markdown("## Generated Artifact")
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st.write(generated_artifact)
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else:
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st.error("Please fill out all fields.")
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