Update app.py

app.py

@@ -10,7 +10,6 @@ from tenacity import retry, stop_after_attempt, wait_random_exponential
 
 
 
-#df = pd.read_json('https://www.dropbox.com/scl/fi/uh964d1k6woc9wo3l2slc/dyf_w_embeddings.json?rlkey=j23j5338n4e88kvvsmj7s7aff&dl=1')
 df = pd.read_json('rw7.json')
 
 GPT_MODEL = 'gpt-3.5-turbo'
@@ -18,7 +17,7 @@ EMBEDDING_MODEL = "text-embedding-ada-002"
 @retry(wait=wait_random_exponential(min=1, max=5), stop=stop_after_attempt(6))
 def ask_naive(query):
     messages = [
-        {"role": "system", "content": "You are a collegee sociology professor. Provide a very brief answer to this student question."},
+        {"role": "system", "content": "You are a college sociology professor. Provide a very brief answer to this student question."},
         {"role": "user", "content": query},
     ]
     response = openai.ChatCompletion.create(
@@ -74,10 +73,10 @@ def build_resources(psuedo_answer):
 @retry(wait=wait_random_exponential(min=1, max=5), stop=stop_after_attempt(6))
 def respond(question, textbook_samples):
     messages = [
-        {"role": "system", "content": "You are a college profesor who excels at explaining topics to students. Start with a direct answer to the question. Then, definition/overview of the concept's essence; break it down into understandable pieces; use clear language and structure. Where approriate, provide connections  and comparisions to  related terms. "},
+        {"role": "system", "content": "You are a college professor who excels at explaining topics to students. Start with a direct answer to the question. Then, definition/overview of the concept's essence; break it down into understandable pieces; use clear language and structure. Where appropriate, provide connections  and comparisons to  related terms. "},
         {"role": "user", "content": f"""Use markdown and emphasize important phrases in bold. Respond to the following question: {question}.
         
-        When contructing the question, use the following information from the textbook.
+        When constructing the answer, use the following information from the textbook.
         {textbook_samples}
         """ }
         ]
@@ -102,7 +101,7 @@ This app responds to your questions by looking up the most relevant selections f
 '''
 
 outro_text = '''
-**Caveats:** Like all apps that employ large language models, this one has the possiblitiy for bias and confabulation. 
+**Caveats:** Like all apps that employ large language models, this one has the possibility for bias and confabulation. 
 
 **Behind the Scenes**
 
@@ -121,7 +120,7 @@ block = gr.Blocks(theme = 'bethecloud/storj_theme')
 
 with block:
     gr.Markdown("# Ask the Sociology 101 Textbook")
-    gr.Markdown("![](rw_cover.jpg)")
+    gr.Markdown("![](https://huggingface.co/spaces/NealCaren/Ask101/resolve/main/rw_cover.jpg)
     gr.Markdown(intro_text)
         
     # Define the input and output blocks