up works

OCNotebook.jl

@@ -31,17 +31,69 @@ md" *A Misinformation Remediation Company*"
 # ╔═╡ 86b197ec-84f7-4fc1-9abf-e4244e853ce7
 begin
 
-	function dataframe_to_html(df::DataFrame)
+# Take long text to chunks 
+function chunk_text(text::String, chunk_size::Int=280)
+	chunks = []
+	for i in 1:chunk_size:length(text)
+		newchunk = text[i:min(i+chunk_size-1, length(text))]
+		push!(chunks, newchunk)
+	end
+	return string.(chunks)
+end
+
+function score_to_background(score)
+    # 0 = blue, 1 = red; interpolate HSL
+    hue = round(Int, 240 * (1 - score))  # 240 (blue) → 0 (red)
+    return "hsl($hue, 100%, 50%)"
+end
+
+function text_color_for_bg(score)
+    # If background is dark (low L), use light text
+    return score > 0.5 ? "white" : "black"
+end
+
+function score_to_color(score)
+    if score ≤ 0.7
+        # Interpolate from blue (#0000FF) to gray (#888888)
+        t = score / 0.7
+        r = round(Int, (1 - t) * 0   + t * 136)
+        g = round(Int, (1 - t) * 0   + t * 136)
+        b = round(Int, (1 - t) * 255 + t * 136)
+    else
+        # Interpolate from gray (#888888) to red (#FF0000)
+        t = (score - 0.7) / 0.7
+        r = round(Int, (1 - t) * 136 + t * 255)
+        g = round(Int, (1 - t) * 136 + t * 0)
+        b = round(Int, (1 - t) * 136 + t * 0)
+    end
+    return "rgb($r,$g,$b)"
+end
+
+function dataframe_to_html(df::DataFrame)
     html_rows = String[]
-    
-    # Header row
-    push!(html_rows, "<thead><tr>" * join(["<th>$(col)</th>" for col in names(df)]) * "</tr></thead>")
-    
+    colnames = names(df)
+
+    # Header
+    push!(html_rows, "<thead><tr>" * join(["<th>$(col)</th>" for col in colnames]) * "</tr></thead>")
+
     # Data rows
     for row in eachrow(df)
-        push!(html_rows, "<tr>" * join(["<td>$(row[col])</td>" for col in names(df)]) * "</tr>")
+        row_html = "<tr>"
+        for col in colnames
+            val = row[col]
+            if col == :text && :score in colnames
+                bg = score_to_background(row[:score])
+                fg = text_color_for_bg(row[:score])
+                row_html *= "<td style='background-color:$bg; color:$fg;'>$(val)</td>"
+            else
+                row_html *= "<td>$(val)</td>"
+            end
+        end
+        row_html *= "</tr>"
+        push!(html_rows, row_html)
     end
 
+    # Full HTML with style
     table_html = """
     <style>
         table.pretty-table {
@@ -49,7 +101,6 @@ begin
             width: 100%;
             font-family: system-ui, sans-serif;
             margin-top: 10px;
-            color: #eee;
             background-color: transparent;
         }
         .pretty-table th, .pretty-table td {
@@ -58,6 +109,7 @@ begin
         }
         .pretty-table th {
             background-color: #333;
+            color: white;
             font-weight: 600;
         }
         .pretty-table tr:nth-child(even) {
@@ -78,7 +130,18 @@ begin
     return HTML(table_html)
 end
 
-
+function scored_text_paragraph(df::DataFrame)
+	    fragments = String[]
+	
+	    for row in eachrow(df)
+	        color = score_to_color(row[:score])
+	        text = row[:text]
+	        push!(fragments, """<span style="color: $color;">$text</span>""")
+	    end
+	
+	    html = "<p style='font-family: system-ui, sans-serif; font-size: 1.1rem;'>" * join(fragments, " ") * "</p>"
+	    return HTML(html)
+	end
 
 function search_fastfacts(claim::String; model::String = "factchecks", top_k::Int = 5)
     base_url = "https://stefanjwojcik-misinfo-detection-app.hf.space/fastfactsearch"
@@ -93,6 +156,26 @@ function search_fastfacts(claim::String; model::String = "factchecks", top_k::In
         error("Failed to fetch results: $(response.status)")
     end
 end
+
+# Iterated fastfact 
+function iteratedfastfact(df::DataFrame)
+    # Create a new DataFrame to store the results
+    results_df = DataFrame()
+
+    # Iterate over each row in the DataFrame
+    for i in 1:nrow(df)
+        text = df[i, :text]
+        result = select(DataFrame(search_fastfacts(text; top_k=1)), 
+						[:score, :policy, :text])
+        
+        # Append the result to the results DataFrame
+        results_df = vcat(results_df, result)
+    end
+
+    return results_df
+	
+end
+	
 nothing
 end
 
@@ -135,8 +218,40 @@ md" Enter your search claim in the box below and click 'submit' "
 # ╔═╡ 2ec6801c-707c-41ee-9415-e489ee52e3b5
 md"### RESULTS"
 
+# ╔═╡ eb78b6f9-ead9-4dbc-8a0b-befb141523d0
+begin 
+	df = select(DataFrame(search_fastfacts(claimtext; top_k=nclaims)), [:score, :policy, :text])
+	nothing
+end
+
 # ╔═╡ 475c45c1-8b0c-41fc-ab7e-dac5e2294e9c
-dataframe_to_html(select(DataFrame(search_fastfacts(claimtext; top_k=nclaims)), [:score, :policy, :text]))
+dataframe_to_html(df)
+
+# ╔═╡ 3b52bf06-c1cd-441b-aab3-06ffb0d39208
+md"""
+### Fact-checking Long Text
+"""
+
+# ╔═╡ 7bca1473-95a2-443b-9689-cc40fa51727f
+md"""
+Put in a long piece of text, such as a speech or video transcription. 
+"""
+
+# ╔═╡ f1cea517-2f40-4cc0-a621-6f3bb1056e44
+@bind longtext confirm(TextField((90, 12), default="The election of the president and for vice president of the United States is an indirect election in which citizens of the United States who are registered to vote in one of the fifty U.S. states or in Washington, D.C., cast ballots not directly for those offices, but instead for members of the Electoral College.[note 1] These electors then cast direct votes, known as electoral votes, for president and for vice president. The candidate who receives an absolute majority of electoral votes (at least 270 out of 538, since the Twenty-third Amendment granted voting rights to citizens of D.C.) is then elected to that office. If no candidate receives an absolute majority of the votes for president, the House of Representatives elects the president; likewise if no one receives an absolute majority of the votes for vice president, then the Senate elects the vice president. ...."))
+
+# ╔═╡ be418613-b934-4a3c-8728-efe76e208db2
+md" #### Fact-checked Text
+Blue = factful;
+Red = questionable
+"
+
+# ╔═╡ 59013658-1462-4b6e-b490-27664ac9e1a4
+begin
+	iterdf = DataFrame(text = chunk_text(longtext, 80))
+	newdf = iteratedfastfact(iterdf)
+	scored_text_paragraph(newdf)
+end
 
 # ╔═╡ 00000000-0000-0000-0000-000000000001
 PLUTO_PROJECT_TOML_CONTENTS = """
@@ -626,10 +741,16 @@ version = "17.4.0+2"
 # ╟─7169689a-9d31-4ac1-bdd7-3771c515e1b3
 # ╟─e3d65456-0646-44db-abad-193d778149ec
 # ╟─7ba4e521-51ba-4670-a1cf-396c555fcd5a
-# ╠═28653105-c9cc-4ee1-9df8-a54644172a4c
+# ╟─28653105-c9cc-4ee1-9df8-a54644172a4c
 # ╟─785238ae-08b3-4221-85ba-97f4fc7d01e3
 # ╟─c2afdd06-9918-4445-889e-1e45a68c0cd9
 # ╟─2ec6801c-707c-41ee-9415-e489ee52e3b5
+# ╟─eb78b6f9-ead9-4dbc-8a0b-befb141523d0
 # ╟─475c45c1-8b0c-41fc-ab7e-dac5e2294e9c
+# ╟─3b52bf06-c1cd-441b-aab3-06ffb0d39208
+# ╟─7bca1473-95a2-443b-9689-cc40fa51727f
+# ╟─f1cea517-2f40-4cc0-a621-6f3bb1056e44
+# ╟─be418613-b934-4a3c-8728-efe76e208db2
+# ╟─59013658-1462-4b6e-b490-27664ac9e1a4
 # ╟─00000000-0000-0000-0000-000000000001
 # ╟─00000000-0000-0000-0000-000000000002

utils.jl

@@ -0,0 +1,38 @@
+## Utility Functions 
+
+# Score to colors 
+function score_to_color(score)
+    if score ≤ 0.5
+        # Interpolate from blue (#0000FF) to gray (#888888)
+        t = score / 0.5
+        r = round(Int, (1 - t) * 0   + t * 136)
+        g = round(Int, (1 - t) * 0   + t * 136)
+        b = round(Int, (1 - t) * 255 + t * 136)
+    else
+        # Interpolate from gray (#888888) to red (#FF0000)
+        t = (score - 0.5) / 0.5
+        r = round(Int, (1 - t) * 136 + t * 255)
+        g = round(Int, (1 - t) * 136 + t * 0)
+        b = round(Int, (1 - t) * 136 + t * 0)
+    end
+    return "rgb($r,$g,$b)"
+end
+	
+# Creates a paragraph with colored text based on scores from a dataframe 
+function scored_text_paragraph(df::DataFrame)
+    fragments = String[]
+
+    for row in eachrow(df)
+        color = score_to_color(row[:score])
+        text = row[:text]
+        push!(fragments, """<span style="color: $color;">$text</span>""")
+    end
+
+    html = "<p style='font-family: system-ui, sans-serif; font-size: 1.1rem;'>" * join(fragments, " ") * "</p>"
+    return HTML(html)
+end
+	
+
+df = DataFrame(score = [0.1, 0.3, 0.6, 0.9],
+                text = ["This", "is", "a", "test."])
+scored_text_paragraph(df)