Upload actions_llm.py

actions/actions_llm.py

@@ -0,0 +1,35 @@
+# run_search.py
+import openai
+from search_content import main_search
+
+# Provide your OpenAI API key
+openai.api_key = ''
+
+def generate_openai_response(query, model_engine="text-davinci-002", max_tokens=124, temperature=0.8):
+    """Generate a response using the OpenAI API."""
+    # Run the main function from search_content.py and store the results in a variable
+    results = main_search(query)
+
+    # Create context from the results
+    context = "".join([f"#{str(i)}" for i in results])[:2014]
+    prompt_template = f"Relevant context: {context}\n\n Answer the question in detail: {query}"
+
+    # Generate a response using the OpenAI API
+    response = openai.Completion.create(
+        engine=model_engine,
+        prompt=prompt_template,
+        max_tokens=max_tokens,
+        temperature=temperature,
+        n=1,
+        stop=None,
+    )
+
+    return response.choices[0].text.strip()
+
+def main():
+    query = "What is omdena local chapters, how a developer can benifit from it"
+    response = generate_openai_response(query)
+    print(response)
+
+if __name__ == "__main__":
+    main()