update

.gitignore

@@ -1 +1,3 @@
+.env
+_app.py
 models/ggml-gpt4all-l13b-snoozy.bin

app.py

@@ -2,36 +2,24 @@ from langchain import PromptTemplate, LLMChain
 from langchain.llms import GPT4All
 from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 import gradio as gr
-import requests
-from pathlib import Path
-from tqdm import tqdm
+from huggingface_hub import hf_hub_download
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_path = hf_hub_download(repo_id="microsoft/DialoGPT-medium", filename="tf_model.h5")
+# Load the tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(model_path)
 
-template = """Question: {question}
 
+template = """Question: {question}
+------------------
 Answer: Let's think step by step."""
 
 prompt = PromptTemplate(template=template, input_variables=["question"])
-
-local_path = './models/ggml-gpt4all-l13b-snoozy.bin'  # replace with your desired local file path
-Path(local_path).parent.mkdir(parents=True, exist_ok=True)
-
-# Example model. Check https://github.com/nomic-ai/pygpt4all for the latest models.
-url = 'http://gpt4all.io/models/ggml-gpt4all-l13b-snoozy.bin'
-
-# send a GET request to the URL to download the file. Stream since it's large
-response = requests.get(url, stream=True)
-
-# open the file in binary mode and write the contents of the response to it in chunks
-# This is a large file, so be prepared to wait.
-with open(local_path, 'wb') as f:
-    for chunk in tqdm(response.iter_content(chunk_size=8192)):
-        if chunk:
-            f.write(chunk)
-
 # Callbacks support token-wise streaming
 callbacks = [StreamingStdOutCallbackHandler()]
 # Verbose is required to pass to the callback manager
-llm = GPT4All(model=local_path, callbacks=callbacks, verbose=True)
+llm = GPT4All(model=model, callbacks=callbacks, verbose=True)
 
 llm_chain = LLMChain(prompt=prompt, llm=llm)
 
@@ -43,7 +31,7 @@ def chatbot_interface(input_text):
 # Define the Gradio app
 gradio_app = gr.Interface(
     fn=chatbot_interface,
-    inputs=gr.inputs.Textbox(prompt="Say something..."),
+    inputs=gr.inputs.Textbox(label="Say something..."),
     outputs=gr.outputs.Textbox(),
     title="ConversationChain Chatbot",
     description="A chatbot interface powered by ConversationChain and Hugging Face.",

models/ggml-gpt4all-l13b-snoozy.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a7237cc5ddb014293c485c9c5effa91684693ef230ec267b0b100bf699bc97a5
-size 184352768