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main.py

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+# main.py
+import streamlit as st
+import transformers
+import langchain
+import agents
+from streamlit.script_runner import StopException
+
+# Define function to reverse prompt engineer code
+def reverse_prompt_engineer(code):
+    # Use natural language processing to analyze code
+    nlp_analysis = langchain.analyze(code)
+
+    # Choose the best free pretrained model for this task
+    model_name = "microsoft/CodeGPT-small-py-adaptedGPT2"
+    tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
+    model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
+
+    # Generate perfect prompt using analyzed code
+    perfect_prompt = agents.generate_prompt(nlp_analysis)
+
+    # Chat with user to make additional changes to prompt
+    chatbot = agents.ChatGPT(model=model, tokenizer=tokenizer)
+    final_prompt = chatbot.chat(perfect_prompt)
+
+    # Use final prompt to generate similar code using ChatGPT
+    generated_code = chatbot.generate_code(final_prompt)
+
+    return generated_code
+
+# Streamlit UI
+st.set_page_config(page_title="Code Generator", layout="wide", initial_sidebar_state="expanded")
+st.title("Code Generator")
+
+st.sidebar.title("Input")
+code_input = st.sidebar.text_area("Enter your code here:", '''
+def greet(name):
+    print("Hello, " + name + ". How are you doing today?")
+
+greet("John")
+''')
+
+if st.sidebar.button("Generate Code"):
+    if code_input.strip() == "":
+        st.error("Please enter some code in the input field.")
+    else:
+        try:
+            generated_code = reverse_prompt_engineer(code_input)
+            st.code(generated_code)
+        except Exception as e:
+            st.error(f"An error occurred: {str(e)}")
+            raise StopException
+

readme.md

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+---
+title: Reverse-Prompt-Engineering-Code-With-Langchain
+emoji: 🌍
+colorFrom: black 
+colorTo: gold
+sdk: streamlet
+sdk_version: 1.24.0
+app_file: main.py
+pinned: true
+license: mit
+
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+

requirements.txt

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+transformers
+langchain
+agents
+streamlit