first commit

Dockerfile

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+# Use an official Python runtime as the base image
+FROM python:3.9-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Install system packages using apt-get
+RUN apt-get update \
+    && apt-get install -y git grep cut \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy the requirements file to the working directory
+COPY requirements.txt .
+
+# Install the Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the entire project directory to the working directory
+COPY . .
+
+EXPOSE 7860
+
+CMD ["streamlit", "run", "app.py","--server.port", "7860"]
+

app.py

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+from langchain import PromptTemplate, LLMChain
+from gpt4all import GPT4All
+from huggingface_hub import hf_hub_download
+import streamlit as st
+import os
+import subprocess as sp
+#gpt=GPT4All("ggml-gpt4all-j-v1.3-groovy")
+#hf_hub_download(repo_id="dnato/ggml-gpt4all-j-v1.3-groovy.bin", filename="ggml-gpt4all-j-v1.3-groovy.bin", local_dir=".")
+from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
+template = """
+You are a friendly chatbot assistant that responds in a conversational
+manner to users questions. Keep the answers short, unless specifically
+asked by the user to elaborate on something.
+
+Question: {question}
+
+Answer:"""
+
+local_path=os.getcwd() + "/ggml-gpt4all-j-v1.3-groovy.bin"
+
+prompt = PromptTemplate(template=template, input_variables=["question"])
+from langchain.llms import GPT4All
+#llm = GPT4All(
+#    model=local_path,
+#    callbacks=[StreamingStdOutCallbackHandler()]
+#)
+
+#llm_chain = LLMChain(prompt=prompt, llm=llm)
+
+
+def main():
+    st.title("GPT4All Chatbot")
+
+    # User input
+    query = st.text_input("Enter your message:")
+
+    # Generate response
+    if st.button("Submit"):
+        #response=llm_chain(query)
+        #response = gptj.chat_completion(messages)
+        #answer = response['choices'][0]['message']['content']
+
+        # Display the response
+        st.text_area("Bot Response:", value=sp.check_output(query), height=100)
+
+if __name__ == "__main__":
+    main()
+

requirements.txt

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+streamlit
+gpt4all
+langchain
+huggingface
+huggingface_hub
+radon