Code Updates

app.py

@@ -0,0 +1,52 @@
+import os
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from langchain.chains import LLMChain
+from langchain_core.prompts import PromptTemplate
+
+# Load the Hugging Face API token from environment variables
+hf_token = os.getenv('HF_TOKEN')
+if hf_token is None:
+    raise ValueError("Hugging Face API token not found in environment variables.")
+
+# Load the tokenizer and model using the API token
+tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B", use_auth_token=hf_token)
+model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6B", use_auth_token=hf_token)
+
+# Define your prompt template
+prompt_template = PromptTemplate(
+    template="""
+    You are an AI language model trained to generate code for reinforcement learning models.
+    Given a description of a trading strategy, you need to generate a prompt that can be used to create code for a reinforcement learning model.
+    The prompt should be clear, concise, and include all necessary details to implement the strategy in code.
+
+    Here is the description of the trading strategy:
+    "{strategy}"
+
+    Based on this description, generate a proper prompt that can be used to create the code for a reinforcement learning model.
+    The prompt should include the following details:
+    1. The type of reinforcement learning algorithm to be used (e.g., Q-learning, DQN, PPO, etc.).
+    2. The main components of the algorithm (e.g., state space, action space, reward function).
+    3. Any specific libraries or tools that should be used (e.g., TensorFlow, PyTorch, OpenAI Gym).
+    4. Additional parameters or configurations that are important for the strategy.
+
+    Output the prompt in a way that another AI model can use to generate the code.
+    """,
+    input_variables=["strategy"]
+)
+
+chain = LLMChain(llm=model, prompt=prompt_template)
+
+st.title("Text to Prompt Generator")
+st.write("Enter some text and get a prompt for a reinforcement learning algorithm:")
+
+text_input = st.text_area("Enter text here:")
+
+if st.button("Generate Prompt"):
+    if text_input:
+        # Format the input into the template and generate the prompt
+        prompt = prompt_template.format(strategy=text_input)
+        st.write("Generated Prompt:")
+        st.write(prompt)
+    else:
+        st.write("Please enter some text to generate a prompt.")