e

app.py

@@ -2,26 +2,13 @@ import gradio as gr
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 # Load GPT-4-mini model and tokenizer from Hugging Face
-model_name = "gpt-4-mini"  # Change this to the exact Hugging Face model name
+model_name = "gpt-4-mini"  # Ensure this is the correct model name on Hugging Face
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
 
-# Define your custom context
-custom_context = """
-I am George Sami
-- Job: Technical lead
-- Services: Frontend development, backend development, mobile development using flutter
-- Programming languages : php, java, js, python
-- Started my career: 2019
-"""
-
-
-def generate_response(input_text, context):
-    # Combine user input with the custom context
-    full_input = f"{context}\n{input_text}"
-    
+def generate_response(input_text):
     # Tokenize the input text and generate the response
-    inputs = tokenizer(full_input, return_tensors="pt")
+    inputs = tokenizer(input_text, return_tensors="pt")
     outputs = model.generate(**inputs, max_length=500, temperature=0.7)
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
     
@@ -30,13 +17,10 @@ def generate_response(input_text, context):
 # Create the Gradio interface
 iface = gr.Interface(
     fn=generate_response, 
-    inputs=[
-        gr.Textbox(label="Input Text", placeholder="Enter your text here..."), 
-        gr.Textbox(label="Context", placeholder="Enter custom context here...")
-    ], 
+    inputs=gr.Textbox(label="Input Text", placeholder="Enter your text here..."), 
     outputs="text", 
-    title="GPT-4-mini with Custom Context",
-    description="This is a simple interface to interact with GPT-4-mini and provide your own context for responses."
+    title="GPT-4-mini",
+    description="A simple interface to interact with the GPT-4-mini model."
 )
 
 # Launch the Gradio interface on Hugging Face
@@ -44,7 +28,12 @@ iface.launch()
 
 
 
+# custom_context = """
+# I am George Sami
+# - Job: Technical lead
+# - Services: Frontend development, backend development, mobile development using flutter
+# - Programming languages : php, java, js, python
+# - Started my career: 2019
+# """
 
 
-# input_with_context = f"{custom_context}\n\nUser: {user_input}\nAssistant:"
-

requirements.txt

@@ -3,3 +3,4 @@ gradio
 transformers
 torch
 
+