Sree

app.py

@@ -1,3 +1,32 @@
+# import gradio as gr
+
+# gr.Interface.load("models/NousResearch/Yarn-Mistral-7b-128k").launch()
+
 import gradio as gr
+from transformers import pipeline
+
+# Load a small GPT model fine-tuned for Python code generation
+# generator = pipeline('text-generation', model='microsoft/CodeGPT-small-py')
+generator = pipeline('text-generation', model='NousResearch/Yarn-Mistral-7b-128k')
+
+def generate_code(prompt):
+    # Generate code from the model
+    responses = generator(prompt, max_length=500, num_return_sequences=1, temperature=0.1)
+    return responses[0]['generated_text']
+
+input_textbox = gr.Textbox(label="Please click any button below or enter the last 4 digits of your Amazon.in order-id, name and email along with your questions. We shall get back to you!", lines=3)
+outputs = gr.Markdown(label="Generated Code")
+title = "Schogini Toys - AI Chatbot V2.03"
+
+# Create a Gradio Interface
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=input_textbox, #[gr.Textbox(lines=10, label="Type your code description here")],
+    outputs=outputs, #[gr.Textbox(label="Generated Code")],
+    examples=[["Define a Python function to calculate factorial."]],
+    title=title,
+)
 
-gr.Interface.load("models/NousResearch/Yarn-Mistral-7b-128k").launch()
+# Run the interface
+if __name__ == "__main__":
+    iface.launch()

push.sh

@@ -0,0 +1,8 @@
+
+#pip install --upgrade huggingface_hub
+
+git add .
+git commit -m Sree
+git push
+
+echo https://schogini-test1.hf.space

requirements.txt

@@ -0,0 +1,6 @@
+gradio
+#==3.1.4
+transformers
+#==4.20.1
+#huggingface_hub==0.19.0
+torch