Initial Commit!

app.py

@@ -0,0 +1,36 @@
+import openai
+import os
+import gradio as gr
+import json
+from dotenv import load_dotenv, find_dotenv
+_ = load_dotenv(find_dotenv())
+
+
+openai.api_key  = os.getenv('OPENAI_API_KEY')
+
+def get_completion(prompt, model="gpt-3.5-turbo"):
+    messages = [{"role": "user", "content": prompt}]
+    response = openai.ChatCompletion.create(
+        model=model,
+        messages=messages,
+        temperature=0, # this is the degree of randomness of the model's output
+    )
+    return response.choices[0].message["content"]
+
+def greet(input):
+	prompt = f"""
+Recommend complementary shops specifically for the shop(s) described in the following text, ranked by synergy: \
+Text: ```{input}```
+"""
+
+response = get_completion(prompt)
+print(response)
+	response = get_completion(prompt)
+	return response
+
+#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+#iface.launch()
+
+#iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Text to find entities", lines=2)], outputs=[gr.HighlightedText(label="Text with entities")], title="NER with dslim/bert-base-NER", description="Find entities using the `dslim/bert-base-NER` model under the hood!", allow_flagging="never", examples=["My name is Andrew and I live in California", "My name is Poli and work at HuggingFace"])
+iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Retail Business", lines=3)], outputs="text")
+iface.launch()

requirements.txt

@@ -0,0 +1,2 @@
+openai
+python-dotenv