Delete app.py

app.py

@@ -1,60 +0,0 @@
-import os
-import requests
-import streamlit as st
-
-API_URL = "https://api-inference.huggingface.co/models/gpt2"  # Updated API endpoint
-API_TOKEN = os.environ.get('HUGGINGFACEHUB_API_TOKEN')
-HEADERS = {"Authorization": f"Bearer {API_TOKEN}"}
-
-def get_sentiment_category(sentiment_score):
-    if sentiment_score > 0:
-        return "positive"
-    elif sentiment_score < 0:
-        return "negative"
-    else:
-        return "mixed"
-
-st.title("GPT-2 Movie Review Sentiment Analysis")
-
-input_text = st.text_area("Enter movie review:", "")
-
-analysis_type = st.radio("Select analysis type:", ["Zero-shot", "One-shot", "Few-shot"])
-
-if analysis_type == "Zero-shot":
-    prompt = f"Sentiment analysis of the following movie review: \n\n{input_text}\n\nSentiment:"
-
-elif analysis_type == "One-shot":
-    example = st.text_area("Input one example:")
-    prompt = f"{example}\n\nMovie review:\n{input_text}\n\nSentiment:"
-
-elif analysis_type == "Few-shot":
-    examples = st.text_area("Input few-shot examples, one per line:")
-    examples_list = examples.split('\n')
-    prompt = f"Sentiment analysis examples: \n{', '.join(examples_list)}\n\nMovie review: \n{input_text}\n\nSentiment:"
-
-if st.button("Analyze"):
-    try:
-        response = requests.post(API_URL, headers=HEADERS, json={"inputs": prompt}, timeout=10)
-        response.raise_for_status()
-
-        result = response.json()[0]['generated_text']
-
-        # Extract sentiment score and category
-        sentiment_start = result.find("Sentiment:") + len("Sentiment:")
-        sentiment_end = result.find(".", sentiment_start)
-        sentiment_score_text = result[sentiment_start:sentiment_end].strip()
-
-        # Extract only the numerical part of the score
-        if '/' in sentiment_score_text:
-            sentiment_score_text = sentiment_score_text.split('/')[0]
-
-        try:
-            sentiment_score = float(sentiment_score_text.split()[0])
-        except ValueError:
-            sentiment_score = None
-
-        sentiment_category = get_sentiment_category(sentiment_score) if sentiment_score is not None else "mixed"
-        st.write(f"Sentiment: {sentiment_category}")
-
-    except requests.exceptions.RequestException as e:
-        st.error("Error reaching API\n{}".format(e))